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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Polling a web server for latest updates

Some websites change dramatically very often. For instance, Google News and Reddit are usually loaded with recent postings the moment we refresh the page. To maintain the latest data at all times, it might be best to run an HTTP request often.

In this recipe, we poll new Reddit posts every 10 seconds as summarized in the following diagram:

Polling a web server for latest updates

How to do it…

In a new file called Main.hs, perform the following steps:

  1. Import the relevant libraries:
    import Network.HTTP
    import Control.Concurrent (threadDelay)
    import qualified Data.Text as T
  2. Define the URL to poll:
    url = "http://www.reddit.com/r/pics/new.json"
  3. Define the function to obtain the latest data from an HTTP GET request:
    latest :: IO String
    
    latest = simpleHTTP (getRequest url) >>= getResponseBody
  4. Polling is simply the act of recursively conducting a task after waiting for a specified amount of time. In this case, we will wait 10 seconds before asking for the latest web data:
    poll ::...
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